12086287

Horizontally-Scalable Data De-Identification

PublishedSeptember 10, 2024
Assigneenot available in USPTO data we have
Technical Abstract

Patent Claims
18 claims

Legal claims defining the scope of protection, as filed with the USPTO.

2

2. The method of claim 1, wherein the data is organized as a plurality of columns.

3

3. The method of claim 2, wherein generating the plurality of generalizations uses a set of data hierarchies for one or more columns of the plurality of columns.

4

4. The method of claim 2, wherein each column of the plurality of columns has a corresponding privacy category.

6

6. The method of claim 1, wherein the plurality of generalizations of the data are the same size.

8

8. The method of claim 1, wherein the anonymized view of the data is k-anonymous for a specific k-value.

9

9. The method of claim 1, wherein the data is converted by replacing original values of the data with an index into a set of values for the data.

11

11. The system of claim 10, wherein the data is organized as a plurality of columns.

12

12. The system of claim 11, wherein generating the plurality of generalizations uses a set of data hierarchies for one or more columns of the plurality of columns.

13

13. The system of claim 11, wherein each column of the plurality of columns has a corresponding privacy category.

15

15. The system of claim 14, wherein the processing device further suppresses data in a column categorized as identifier.

17

17. The system of claim 10, wherein the plurality of generalizations of the data are of different sizes.

18

18. The system of claim 10, wherein the anonymized view of the data is k-anonymous for a specific k-value.

20

20. The non-transitory machine-readable medium of claim 19, wherein the data is organized as a plurality of columns.

21

21. The non-transitory machine-readable medium of claim 20, wherein the instructions further cause the one or more processors of the computing device to generate the plurality of generalizations using a set of data hierarchies for one or more columns of the plurality of columns.

22

22. The non-transitory machine-readable medium of claim 20, wherein each column of the plurality of columns has a corresponding privacy category.

24

24. The non-transitory machine-readable medium of claim 23, wherein the instructions further cause the one or more processors of the computing device to suppress data in a column categorized as identifier.

26

26. The non-transitory machine-readable medium of claim 19, wherein the plurality of generalizations of the data are of different sizes.

27

27. The non-transitory machine-readable medium of claim 19, wherein the anonymized view of the data is k-anonymous for a specific k-value.

Patent Metadata

Filing Date

Unknown

Publication Date

September 10, 2024

Inventors

David Jensen
Joseph David Jensen

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Cite as: Patentable. “HORIZONTALLY-SCALABLE DATA DE-IDENTIFICATION” (12086287). https://patentable.app/patents/12086287

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